ByteDance
GPU/AI Application Platform Engineer Intern (Server Platform) - 2027 Start (PhD)
San Jose, California · Internship · Posted Oct 28, 2026
- Education
- Currently pursuing a PhD degree in Electrical Engineering, Computer Engineering, Computer Science or related majors.
About the job
Develop and optimize GPU/AI system benchmarks and tools, analyze system bottlenecks, model total cost of ownership, and evaluate emerging technologies with partners and industry groups.
What you'll do
- Develop GPU/AI application benchmarks, tools, and performance optimization methods; build system TCO models.
- Use system-level data analysis and software-hardware co-design to identify opportunities and guide solutions toward implementation.
- Evaluate new technologies and architectural designs with partners and suppliers, and contribute research through industry standards work.
What they ask for
- Currently pursuing a PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related major.
- Thesis in GPU/AI platform architecture, application performance optimization design, or software-hardware co-design.
- Deep understanding of computer architecture, especially GPU/AI SoC or platform architecture, interconnect fabric, and memory subsystems; experience in GPU/AI performance optimization or software-hardware co-design.
- Proficiency in C/C++ and scripting languages such as Python; understanding of GPU/AI virtualization, deep learning architecture, and distributed systems.
Tools
GPU/AI, C/C++, Python
AI focus
GPU/AI system benchmarking, performance optimization, architecture analysis, and software-hardware co-design.
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